下面是交叉验证的结果:
=== Detailed Accuracy By Class ===
TP Rate FP Rate Precision Recall F-Measure ROC Area Class
0.99 0.002 0.98 0.99 0.985 0.999 C11-Space
0.75 0.001 0.923 0.75 0.828 0.979 C15-Energy
0.704 0.001 0.905 0.704 0.792 0.972 C16-Electronics
0.76 0.005 0.731 0.76 0.745 0.978 C17-Communication
0.96 0.002 0.98 0.96 0.97 0.988 C19-Computer
0.697 0.002 0.885 0.697 0.78 0.968 C23-Mine
0.86 0.014 0.731 0.86 0.79 0.978 C29-Transport
0.78 0.017 0.78 0.78 0.78 0.983 C3-Art
0.99 0 1 0.99 0.995 0.999 C31-Enviornment
0.94 0.002 0.979 0.94 0.959 0.997 C32-Agriculture
0.9 0.007 0.909 0.9 0.905 0.968 C34-Economy
0.725 0.004 0.881 0.725 0.796 0.987 C35-Law
0.902 0.009 0.793 0.902 0.844 0.989 C36-Medical
0.946 0.024 0.693 0.946 0.8 0.982 C37-Military
0.89 0.014 0.832 0.89 0.86 0.981 C38-Politics
0.94 0.002 0.979 0.94 0.959 0.979 C39-Sports
0.697 0.003 0.852 0.697 0.767 0.977 C4-Literature
0.797 0.01 0.783 0.797 0.79 0.98 C5-Education
0.614 0.004 0.818 0.614 0.701 0.976 C6-Philosophy
0.73 0.023 0.709 0.73 0.719 0.969 C7-History
Correctly Classified Instances 1196 86.2915 %
Incorrectly Classified Instances 190 13.7085 %
Kappa statistic 0.8542
Mean absolute error 0.0902
Root mean squared error 0.2088
Relative absolute error 95.8409 %
Root relative squared error 96.259 %
Total Number of Instances 1386
=== Confusion Matrix ===
a b c d e f g h i j k l m n o p q r s t <-- classified as
99 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 | a = C11-Space
0 24 1 0 0 2 3 0 0 0 0 0 0 2 0 0 0 0 0 0 | b = C15-Energy
0 0 19 5 0 0 2 0 0 0 0 0 0 1 0 0 0 0 0 0 | c = C16-Electronics
0 0 1 19 0 0 4 0 0 0 0 0 0 0 0 0 0 1 0 0 | d = C17-Communication
1 0 0 0 96 0 0 0 0 0 0 0 1 2 0 0 0 0 0 0 | e = C19-Computer
0 1 0 2 0 23 4 0 0 0 0 0 1 1 0 0 0 1 0 0 | f = C23-Mine
0 1 0 0 0 1 49 0 0 0 0 1 2 2 0 0 0 1 0 0 | g = C29-Transport
0 0 0 0 0 0 0 78 0 0 0 0 0 0 2 0 0 1 0 19 | h = C3-Art
0 0 0 0 0 0 0 0 99 0 0 1 0 0 0 0 0 0 0 0 | i = C31-Enviornment
0 0 0 0 0 0 0 0 0 94 5 0 0 0 0 0 0 0 0 1 | j = C32-Agriculture
0 0 0 0 0 0 0 0 0 1 90 0 1 0 7 0 0 0 0 1 | k = C34-Economy
0 0 0 0 0 0 0 0 0 0 0 37 1 13 0 0 0 0 0 0 | l = C35-Law
0 0 0 0 0 0 0 0 0 0 0 0 46 4 0 0 0 1 0 0 | m = C36-Medical
1 0 0 0 0 0 0 0 0 0 0 2 1 70 0 0 0 0 0 0 | n = C37-Military
0 0 0 0 0 0 0 0 0 0 2 0 0 1 89 0 0 0 0 8 | o = C38-Politics
0 0 0 0 1 0 0 1 0 0 1 0 0 0 2 94 0 0 0 1 | p = C39-Sports
0 0 0 0 0 0 2 0 0 0 0 1 1 0 0 0 23 3 3 0 | q = C4-Literature
0 0 0 0 0 0 1 0 0 0 0 0 3 4 0 1 0 47 3 0 | r = C5-Education
0 0 0 0 0 0 2 0 0 0 0 0 1 1 3 1 4 5 27 0 | s = C6-Philosophy
0 0 0 0 0 0 0 21 0 1 1 0 0 0 4 0 0 0 0 73 | t = C7-History
可见,只有“艺术”与 “历史”的分类出现了偏差,不到四分之一的实例跑到了对方分类中。但历史与艺术是非常相关的,这样的结果很合理。
今天中午到现在努力的结果。不错。
https://blog.sciencenet.cn/blog-713110-634816.html
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